LibreAI / AI Agents / Voyager
// agents · MineDojo/Voyager

Voyager

Voyager — the open-ended embodied Minecraft agent that writes its own skills and keeps learning for life.

★ 7.2k stars⑂ 706 forksMITupdated 2024-04
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

Voyager is an open-source ai agents project by MineDojo (MineDojo/Voyager on GitHub). It has 7,250 GitHub stars and 706 forks, is released under the MIT license, and was last updated on GitHub on 3 April 2024.

GitHub stars
7,250
Forks
706
License
MIT
Last updated on GitHub
3 April 2024
Category
AI Agents
Listing
Full install guide
Official site
Official site
// how it works

How it works

  1. Clarify your goal

    Set up the full environment first — Minecraft instance, Fabric mods, Node and Python parts — and decide whether to start lifelong learning fresh or resume from a checkpoint/skill library.

  2. Get the project

    Clone MineDojo/Voyager from GitHub (or use the install path in the run steps below) and skim its README for the parts relevant to your goal.

  3. Install and configure

    Follow the README's four install parts in order: Python install, Node.js install, Minecraft instance install, and Fabric mods install.

  4. Run your first task

    Start lifelong learning, watch Voyager propose and attempt its first tasks, and inspect the skills it writes into its library.

// features

Why people love it

Lifelong learning in Minecraft

An agent that continuously explores, learns new skills and takes on harder tasks without a fixed endpoint.

Executable skill library

Learned skills are stored as code in a skill library and reused — you can also load a learned library to run specific tasks.

Automatic curriculum

Voyager proposes its own next tasks based on its progress, rather than following a hand-written task list.

Iterative prompting with feedback

Environment feedback and execution errors feed back into prompting so the agent debugs its own attempts.

Checkpoint resume

Learning can resume from a checkpoint, and a learned skill library can be pointed at a new specific task.

Paper-backed research code

The official codebase for the Voyager paper, with the project site and arXiv paper linked from the repo.

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// run it

Run it yourself

  1. Clone the repository

    Get the source from the official GitHub repository for Voyager.

    git clone https://github.com/MineDojo/Voyager.git
    cd Voyager
  2. Install the components

    Complete the Python and Node.js installs from the README, including the package install and TypeScript build steps it lists.

    pip install -e .
    npm install
  3. Start lifelong learning

    With the Minecraft instance and Fabric mods running and your login configured, start Voyager's lifelong learning from the README's getting-started code.

    # Configure azure_login (recommended) in the getting-started snippet, then start lifelong learning — see README
// use cases

What you can build

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// faq

Questions, answered

Who maintains Voyager?

MineDojo, through the MineDojo/Voyager repository, with the project site at voyager.minedojo.org.

Is Voyager free to use?

Yes — the project is open source under the MIT license as recorded for this listing. You can use, modify and distribute it under the MIT terms.

Does Voyager need a paid API key?

Voyager's reasoning is driven by an LLM, so you need the model access its setup requires (the README recommends Azure login for the Minecraft connection and its GPT-class model setup); the code is free under MIT.

How does Voyager compare to a scripted Minecraft bot?

Scripted bots (for example Mineflayer scripts) do exactly what you coded. Voyager writes, tests and stores its own skills under an automatic curriculum — a research system for open-ended learning, with a much heavier setup than a bot script.

How do I get started with Voyager?

Clone the repository (or use the documented installer), follow the install and configure steps on this page, and run the smallest real task first — start lifelong learning, watch Voyager propose and attempt its first tasks, and inspect the skills it writes into its library.

// keep exploring

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// alternatives

Alternatives in AI Agents

The most-starred other AI Agents projects in the LibreAI catalogue — the realistic shortlist if Voyager is not the right fit.

Get Voyager

Free and open — grab the source, star the repo, and start creating.